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- Tasks: Lead the evolution of data platforms and build AI capabilities using AWS and Snowflake.
- Company: A modern, data-driven enterprise with a supportive culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a significant impact on AI deployment and operational governance.
- Qualifications: Strong data background, cloud tech familiarity, and leadership skills.
The predicted salary is between 36000 - 60000 £ per year.
A modern data-driven enterprise seeks a Data Platform Lead to evolve its data platforms into an AI-ready foundation. You’ll work with AWS and Snowflake, design robust ingestion pipelines, and build AI capabilities.
Ideal candidates should have a strong data background, be familiar with cloud technologies, and possess leadership skills. This role offers the opportunity to significantly influence AI deployment and improve operational governance within a supportive culture.
Engineering Manager — AI-Driven Data Platform employer: FGS Recruitment
Contact Detail:
FGS Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager — AI-Driven Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with AI and data platforms. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AWS, Snowflake, or any AI capabilities you've developed. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data platforms and AI. We recommend practising with a friend or using mock interview tools to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Engineering Manager — AI-Driven Data Platform
Some tips for your application 🫡
Show Your Data Passion: When writing your application, let us see your enthusiasm for data! Share specific examples of your experience with data platforms and how you've used them to drive results. This will help us understand your passion and fit for the role.
Highlight Your Cloud Experience: Make sure to mention any experience you have with AWS and Snowflake. We want to know how you've leveraged these technologies in your previous roles, so don’t hold back on the details!
Demonstrate Leadership Skills: As an Engineering Manager, leadership is key. Use your application to showcase your leadership style and any successful projects you've led. We’re looking for someone who can inspire and guide a team towards success.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at FGS Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS and Snowflake, as these are key components of the role. Brush up on your knowledge of data ingestion pipelines and AI capabilities, so you can confidently discuss how you would leverage these technologies to enhance the data platform.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience, especially in managing teams or projects related to data platforms. Be ready to discuss how you’ve influenced AI deployment in previous roles and how you can foster a supportive culture within the team.
✨Understand the Company’s Vision
Research the company’s goals and how they plan to evolve their data platforms. This will help you align your answers with their vision and demonstrate your genuine interest in contributing to their success.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready to ask at the end of the interview. Inquire about their current challenges with data governance or how they envision the future of AI in their operations. This shows your enthusiasm and strategic thinking.
